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Transformational issues of big data and analytics in networked business

Transformational issues of big data and analytics in networked business
Transformational issues of big data and analytics in networked business
The era of big data and analytics is upon us and is changing the world dramatically. The field of Information Systems should be at the forefront of understanding and interpreting the impact of both technologies and management so as to lead the efforts of business research in the big data era. We need to prepare ourselves and our students for this changing world of business. In this discussion, we focus on exploring the technical and managerial issues of business transformation resulting from the insightful adoption and innovative applications of data sciences in business. We end by providing an overview of the papers included in this special issue and outline future research directions.
807-818
Baesens, B.
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Bapna, R
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Marsden, J.R.
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Vanthienen, J.
d300915c-a81d-48a3-a8d6-648dea9a23da
Baesens, B.
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Bapna, R
9cf05ab7-f0fc-49a7-89f8-262dfb9a0add
Marsden, J.R.
4801242a-48c4-44dc-a876-1b50223e2271
Vanthienen, J.
d300915c-a81d-48a3-a8d6-648dea9a23da

Baesens, B., Bapna, R, Marsden, J.R. and Vanthienen, J. (2016) Transformational issues of big data and analytics in networked business. MIS Quarterly, 40 (4), 807-818.

Record type: Article

Abstract

The era of big data and analytics is upon us and is changing the world dramatically. The field of Information Systems should be at the forefront of understanding and interpreting the impact of both technologies and management so as to lead the efforts of business research in the big data era. We need to prepare ourselves and our students for this changing world of business. In this discussion, we focus on exploring the technical and managerial issues of business transformation resulting from the insightful adoption and innovative applications of data sciences in business. We end by providing an overview of the papers included in this special issue and outline future research directions.

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More information

Accepted/In Press date: 1 December 2015
Published date: January 2016
Organisations: Decision Analytics & Risk, Southampton Business School

Identifiers

Local EPrints ID: 411039
URI: https://eprints.soton.ac.uk/id/eprint/411039
PURE UUID: e4e0cf2d-ec85-4d76-8905-61f15b5c705d
ORCID for B. Baesens: ORCID iD orcid.org/0000-0002-5831-5668

Catalogue record

Date deposited: 13 Jun 2017 16:32
Last modified: 17 Sep 2019 00:51

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